from __future__ import annotations

import math
import random
from typing import Any
class     lowerCAmelCase_     :







							def __init__(   self      :     str		):
												_UpperCamelCase			     =     []
												_UpperCamelCase			     =     0
												_UpperCamelCase			     =     0







							def  UpperCamelCase_						(   self      :     Dict		):
												return self.head == self.tail







							def  UpperCamelCase_						(   self      :     Optional[Any] ,			_A      :     Any		):
												self.data.append(_A		)
												_UpperCamelCase			     =     self.tail + 1







							def  UpperCamelCase_						(   self      :     Union[str, Any]		):
												_UpperCamelCase			     =     self.data[self.head]
												_UpperCamelCase			     =     self.head + 1
												return ret







							def  UpperCamelCase_						(   self      :     Tuple		):
												return self.tail - self.head







							def  UpperCamelCase_						(   self      :     Dict		):
												print(self.data		)
												print('''**************'''		)
												print(self.data[self.head : self.tail]		)




class     lowerCAmelCase_     :







							def __init__(   self      :     Any ,			_A      :     Any		):
												_UpperCamelCase			     =     data
												_UpperCamelCase			     =     None
												_UpperCamelCase			     =     None
												_UpperCamelCase			     =     1







							def  UpperCamelCase_						(   self      :     Dict		):
												return self.data







							def  UpperCamelCase_						(   self      :     List[Any]		):
												return self.left







							def  UpperCamelCase_						(   self      :     Optional[Any]		):
												return self.right







							def  UpperCamelCase_						(   self      :     Optional[Any]		):
												return self.height







							def  UpperCamelCase_						(   self      :     List[Any] ,			_A      :     Any		):
												_UpperCamelCase			     =     data







							def  UpperCamelCase_						(   self      :     Dict ,			_A      :     MyNode | None		):
												_UpperCamelCase			     =     node







							def  UpperCamelCase_						(   self      :     Optional[int] ,			_A      :     MyNode | None		):
												_UpperCamelCase			     =     node







							def  UpperCamelCase_						(   self      :     Union[str, Any] ,			_A      :     int		):
												_UpperCamelCase			     =     height




def 					_snake_case	(  __snake_case						):
					if node is None:
										return 0
					return node.get_height()
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					if a > b:
										return a
					return b
def 					_snake_case	(  __snake_case						):
					print('''left rotation node:'''  ,     node.get_data()						)
					_UpperCamelCase			     =     node.get_left()
					assert ret is not None
					node.set_left(ret.get_right()						)
					ret.set_right(__snake_case						)
					_UpperCamelCase			     =     my_max(get_height(node.get_right()						)  ,     get_height(node.get_left()						)						) + 1
					node.set_height(__snake_case						)
					_UpperCamelCase			     =     my_max(get_height(ret.get_right()						)  ,     get_height(ret.get_left()						)						) + 1
					ret.set_height(__snake_case						)
					return ret
def 					_snake_case	(  __snake_case						):
					print('''right rotation node:'''  ,     node.get_data()						)
					_UpperCamelCase			     =     node.get_right()
					assert ret is not None
					node.set_right(ret.get_left()						)
					ret.set_left(__snake_case						)
					_UpperCamelCase			     =     my_max(get_height(node.get_right()						)  ,     get_height(node.get_left()						)						) + 1
					node.set_height(__snake_case						)
					_UpperCamelCase			     =     my_max(get_height(ret.get_right()						)  ,     get_height(ret.get_left()						)						) + 1
					ret.set_height(__snake_case						)
					return ret
def 					_snake_case	(  __snake_case						):
					_UpperCamelCase			     =     node.get_left()
					assert left_child is not None
					node.set_left(left_rotation(__snake_case						)						)
					return right_rotation(__snake_case						)
def 					_snake_case	(  __snake_case						):
					_UpperCamelCase			     =     node.get_right()
					assert right_child is not None
					node.set_right(right_rotation(__snake_case						)						)
					return left_rotation(__snake_case						)
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					if node is None:
										return MyNode(__snake_case						)
					if data < node.get_data():
										node.set_left(insert_node(node.get_left()  ,     __snake_case						)						)
										if (
										    get_height(node.get_left()						) - get_height(node.get_right()						) == 2
										):  # an unbalance detected
															_UpperCamelCase			     =     node.get_left()
															assert left_child is not None
															if (
															    data < left_child.get_data()
															):  # new node is the left child of the left child
																				_UpperCamelCase			     =     right_rotation(__snake_case						)
															else:
																				_UpperCamelCase			     =     lr_rotation(__snake_case						)
					else:
										node.set_right(insert_node(node.get_right()  ,     __snake_case						)						)
										if get_height(node.get_right()						) - get_height(node.get_left()						) == 2:
															_UpperCamelCase			     =     node.get_right()
															assert right_child is not None
															if data < right_child.get_data():
																				_UpperCamelCase			     =     rl_rotation(__snake_case						)
															else:
																				_UpperCamelCase			     =     left_rotation(__snake_case						)
					_UpperCamelCase			     =     my_max(get_height(node.get_right()						)  ,     get_height(node.get_left()						)						) + 1
					node.set_height(__snake_case						)
					return node
def 					_snake_case	(  __snake_case						):
					while True:
										_UpperCamelCase			     =     root.get_right()
										if right_child is None:
															break
										_UpperCamelCase			     =     right_child
					return root.get_data()
def 					_snake_case	(  __snake_case						):
					while True:
										_UpperCamelCase			     =     root.get_left()
										if left_child is None:
															break
										_UpperCamelCase			     =     left_child
					return root.get_data()
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					_UpperCamelCase			     =     root.get_left()
					_UpperCamelCase			     =     root.get_right()
					if root.get_data() == data:
										if left_child is not None and right_child is not None:
															_UpperCamelCase			     =     get_left_most(__snake_case						)
															root.set_data(__snake_case						)
															root.set_right(del_node(__snake_case  ,     __snake_case						)						)
										elif left_child is not None:
															_UpperCamelCase			     =     left_child
										elif right_child is not None:
															_UpperCamelCase			     =     right_child
										else:
															return None
					elif root.get_data() > data:
										if left_child is None:
															print('''No such data'''						)
															return root
										else:
															root.set_left(del_node(__snake_case  ,     __snake_case						)						)
					else:  # root.get_data() < data
										if right_child is None:
															return root
										else:
															root.set_right(del_node(__snake_case  ,     __snake_case						)						)

					if get_height(__snake_case						) - get_height(__snake_case						) == 2:
										assert right_child is not None
										if get_height(right_child.get_right()						) > get_height(right_child.get_left()						):
															_UpperCamelCase			     =     left_rotation(__snake_case						)
										else:
															_UpperCamelCase			     =     rl_rotation(__snake_case						)
					elif get_height(__snake_case						) - get_height(__snake_case						) == -2:
										assert left_child is not None
										if get_height(left_child.get_left()						) > get_height(left_child.get_right()						):
															_UpperCamelCase			     =     right_rotation(__snake_case						)
										else:
															_UpperCamelCase			     =     lr_rotation(__snake_case						)
					_UpperCamelCase			     =     my_max(get_height(root.get_right()						)  ,     get_height(root.get_left()						)						) + 1
					root.set_height(__snake_case						)
					return root
class     lowerCAmelCase_     :







							def __init__(   self      :     Any		):
												_UpperCamelCase			     =     None







							def  UpperCamelCase_						(   self      :     Dict		):
												return get_height(self.root		)







							def  UpperCamelCase_						(   self      :     Any ,			_A      :     Any		):
												print('''insert:''' + str(_A		)		)
												_UpperCamelCase			     =     insert_node(self.root ,			_A		)







							def  UpperCamelCase_						(   self      :     Union[str, Any] ,			_A      :     Any		):
												print('''delete:''' + str(_A		)		)
												if self.root is None:
																	print('''Tree is empty!'''		)
																	return
												_UpperCamelCase			     =     del_node(self.root ,			_A		)







							def __str__(   self      :     Any ,			):  # a level traversale, gives a more intuitive look on the tree
												_UpperCamelCase			     =     ''''''
												_UpperCamelCase			     =     MyQueue()
												q.push(self.root		)
												_UpperCamelCase			     =     self.get_height()
												if layer == 0:
																	return output
												_UpperCamelCase			     =     0
												while not q.is_empty():
																	_UpperCamelCase			     =     q.pop()
																	_UpperCamelCase			     =     ''' ''' * int(math.pow(2 ,			layer - 1		)		)
																	output += space
																	if node is None:
																						output += "*"
																						q.push(_A		)
																						q.push(_A		)
																	else:
																						output += str(node.get_data()		)
																						q.push(node.get_left()		)
																						q.push(node.get_right()		)
																	output += space
																	_UpperCamelCase			     =     cnt + 1
																	for i in range(100		):
																						if cnt == math.pow(2 ,			_A		) - 1:
																											_UpperCamelCase			     =     layer - 1
																											if layer == 0:
																																output += "\n*************************************"
																																return output
																											output += "\n"
																											break
												output += "\n*************************************"
												return output




def 					_snake_case	(  ):
					import doctest

					doctest.testmod()


if __name__ == "__main__":
					_test()
					_lowerCAmelCase       =		AVLtree()
					_lowerCAmelCase       =		list(range(10))
					random.shuffle(lst)
					for i in lst:
										t.insert(i)
										print(str(t))
					random.shuffle(lst)
					for i in lst:
										t.del_node(i)
										print(str(t))




import argparse

import torch
from safetensors.torch import load_file

from diffusers import StableDiffusionPipeline
def      UpperCAmelCase__		(UpperCamelCase_				,UpperCamelCase_				,UpperCamelCase_				,UpperCamelCase_				,UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							StableDiffusionPipeline.from_pretrained(UpperCamelCase_				,torch_dtype=torch.floataa							)

     # load LoRA weight from .safetensors
     snake_case											=							load_file(UpperCamelCase_							)

     snake_case											=							[]

     # directly update weight in diffusers model
     for key in state_dict:
          # it is suggested to print out the key, it usually will be something like below
          # "lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight"

          # as we have set the alpha beforehand, so just skip
          if ".alpha" in key or key in visited:
               continue

          if "text" in key:
               snake_case											=							key.split('''.'''							)[0].split(LORA_PREFIX_TEXT_ENCODER + '''_'''							)[-1].split('''_'''							)
               snake_case											=							pipeline.text_encoder
          else:
               snake_case											=							key.split('''.'''							)[0].split(LORA_PREFIX_UNET + '''_'''							)[-1].split('''_'''							)
               snake_case											=							pipeline.unet

          # find the target layer
          snake_case											=							layer_infos.pop(0							)
          while len(UpperCamelCase_							) > -1:
               try:
                    snake_case											=							curr_layer.__getattr__(UpperCamelCase_							)
                    if len(UpperCamelCase_							) > 0:
                         snake_case											=							layer_infos.pop(0							)
                    elif len(UpperCamelCase_							) == 0:
                         break
               except Exception:
                    if len(UpperCamelCase_							) > 0:
                         temp_name += "_" + layer_infos.pop(0							)
                    else:
                         snake_case											=							layer_infos.pop(0							)

          snake_case											=							[]
          if "lora_down" in key:
               pair_keys.append(key.replace('''lora_down'''				,'''lora_up'''							)							)
               pair_keys.append(UpperCamelCase_							)
          else:
               pair_keys.append(UpperCamelCase_							)
               pair_keys.append(key.replace('''lora_up'''				,'''lora_down'''							)							)

          # update weight
          if len(state_dict[pair_keys[0]].shape							) == 4:
               snake_case											=							state_dict[pair_keys[0]].squeeze(3							).squeeze(2							).to(torch.floataa							)
               snake_case											=							state_dict[pair_keys[1]].squeeze(3							).squeeze(2							).to(torch.floataa							)
               curr_layer.weight.data += alpha * torch.mm(UpperCamelCase_				,UpperCamelCase_							).unsqueeze(2							).unsqueeze(3							)
          else:
               snake_case											=							state_dict[pair_keys[0]].to(torch.floataa							)
               snake_case											=							state_dict[pair_keys[1]].to(torch.floataa							)
               curr_layer.weight.data += alpha * torch.mm(UpperCamelCase_				,UpperCamelCase_							)

          # update visited list
          for item in pair_keys:
               visited.append(UpperCamelCase_							)

     return pipeline


if __name__ == "__main__":
 _SCREAMING_SNAKE_CASE     :					Dict      =       argparse.ArgumentParser()

 parser.add_argument(
     "--base_model_path", default=None, type=str, required=True, help="Path to the base model in diffusers format."
 )
 parser.add_argument(
     "--checkpoint_path", default=None, type=str, required=True, help="Path to the checkpoint to convert."
 )
 parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")
 parser.add_argument(
     "--lora_prefix_unet", default="lora_unet", type=str, help="The prefix of UNet weight in safetensors"
 )
 parser.add_argument(
     "--lora_prefix_text_encoder",
     default="lora_te",
     type=str,
     help="The prefix of text encoder weight in safetensors",
 )
 parser.add_argument("--alpha", default=0.75, type=float, help="The merging ratio in W = W0 + alpha * deltaW")
 parser.add_argument(
     "--to_safetensors", action="store_true", help="Whether to store pipeline in safetensors format or not."
 )
 parser.add_argument("--device", type=str, help="Device to use (e.g. cpu, cuda:0, cuda:1, etc.)")

 _SCREAMING_SNAKE_CASE     :					List[Any]      =       parser.parse_args()

 _SCREAMING_SNAKE_CASE     :					Optional[int]      =       args.base_model_path
 _SCREAMING_SNAKE_CASE     :					Dict      =       args.checkpoint_path
 _SCREAMING_SNAKE_CASE     :					List[str]      =       args.dump_path
 _SCREAMING_SNAKE_CASE     :					Dict      =       args.lora_prefix_unet
 _SCREAMING_SNAKE_CASE     :					List[str]      =       args.lora_prefix_text_encoder
 _SCREAMING_SNAKE_CASE     :					Optional[Any]      =       args.alpha

 _SCREAMING_SNAKE_CASE     :					Optional[int]      =       convert(base_model_path, checkpoint_path, lora_prefix_unet, lora_prefix_text_encoder, alpha)

 _SCREAMING_SNAKE_CASE     :					Tuple      =       pipe.to(args.device)
 pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)




